Pandas Profiling Report

Dataset statistics

Number of variables	15
Number of observations	71111
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	8.1 MiB
Average record size in memory	120.0 B

Variable types

Categorical	5
Numeric	10

Alerts

`id` has constant value "23"	Constant
`type_de_station` has constant value "ISS"	Constant
`data` has a high cardinality: 71111 distinct values	High cardinality
`heure_de_paris` has a high cardinality: 71023 distinct values	High cardinality
`heure_utc` has a high cardinality: 71023 distinct values	High cardinality
`humidite` is highly correlated with `temperature_en_degre_c`	High correlation
`direction_du_vecteur_de_vent_max` is highly correlated with `direction_du_vecteur_de_vent_max_en_degres`	High correlation
`pluie_intensite_max` is highly correlated with `pluie`	High correlation
`pluie` is highly correlated with `pluie_intensite_max`	High correlation
`direction_du_vecteur_de_vent_max_en_degres` is highly correlated with `direction_du_vecteur_de_vent_max`	High correlation
`force_moyenne_du_vecteur_vent` is highly correlated with `force_rafale_max`	High correlation
`force_rafale_max` is highly correlated with `force_moyenne_du_vecteur_vent`	High correlation
`temperature_en_degre_c` is highly correlated with `humidite`	High correlation
`direction_du_vecteur_de_vent_max` is highly correlated with `direction_du_vecteur_de_vent_max_en_degres`	High correlation
`direction_du_vecteur_de_vent_max_en_degres` is highly correlated with `direction_du_vecteur_de_vent_max`	High correlation
`force_moyenne_du_vecteur_vent` is highly correlated with `force_rafale_max`	High correlation
`force_rafale_max` is highly correlated with `force_moyenne_du_vecteur_vent`	High correlation
`direction_du_vecteur_de_vent_max` is highly correlated with `direction_du_vecteur_de_vent_max_en_degres`	High correlation
`pluie_intensite_max` is highly correlated with `pluie`	High correlation
`pluie` is highly correlated with `pluie_intensite_max`	High correlation
`direction_du_vecteur_de_vent_max_en_degres` is highly correlated with `direction_du_vecteur_de_vent_max`	High correlation
`force_moyenne_du_vecteur_vent` is highly correlated with `force_rafale_max`	High correlation
`force_rafale_max` is highly correlated with `force_moyenne_du_vecteur_vent`	High correlation
`type_de_station` is highly correlated with `id`	High correlation
`id` is highly correlated with `type_de_station`	High correlation
`humidite` is highly correlated with `temperature_en_degre_c`	High correlation
`direction_du_vecteur_de_vent_max` is highly correlated with `direction_du_vecteur_vent_moyen` and 3 other fields	High correlation
`direction_du_vecteur_vent_moyen` is highly correlated with `direction_du_vecteur_de_vent_max` and 1 other fields	High correlation
`direction_du_vecteur_de_vent_max_en_degres` is highly correlated with `direction_du_vecteur_de_vent_max` and 3 other fields	High correlation
`force_moyenne_du_vecteur_vent` is highly correlated with `direction_du_vecteur_de_vent_max` and 2 other fields	High correlation
`force_rafale_max` is highly correlated with `direction_du_vecteur_de_vent_max` and 2 other fields	High correlation
`temperature_en_degre_c` is highly correlated with `humidite`	High correlation
`data` is uniformly distributed	Uniform
`heure_de_paris` is uniformly distributed	Uniform
`heure_utc` is uniformly distributed	Uniform
`data` has unique values	Unique
`direction_du_vecteur_de_vent_max` has 12389 (17.4%) zeros	Zeros
`pluie_intensite_max` has 68056 (95.7%) zeros	Zeros
`direction_du_vecteur_vent_moyen` has 36435 (51.2%) zeros	Zeros
`pluie` has 70139 (98.6%) zeros	Zeros
`direction_du_vecteur_de_vent_max_en_degres` has 12389 (17.4%) zeros	Zeros
`force_moyenne_du_vecteur_vent` has 14033 (19.7%) zeros	Zeros
`force_rafale_max` has 8431 (11.9%) zeros	Zeros

Reproduction

Analysis started	2022-07-12 22:55:39.013480
Analysis finished	2022-07-12 22:56:16.509295
Duration	37.5 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

data
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	71111
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	555.7 KiB

2f84156dda580000e8744800	1
2f0b22315a3009406bda2c00	1
2f0c22f15a3000000b800000	1
2f0b28f41d700a802b9e0c00	1
2f0b245215f807e04bd62c00	1
Other values (71106)	71106

Length

Max length	24
Median length	24
Mean length	24
Min length	24

Characters and Unicode

Total characters	1706664
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	71111 ?
Unique (%)	100.0%

Sample

1st row	2f84156dda580000e8744800
2nd row	2f87146d2680000049b21800
3rd row	2f8715cd96880000e9903840
4th row	2f87166dca880000c9702c40
5th row	2f87168dd2880000a96e3840

Common Values

Value	Count	Frequency (%)
2f84156dda580000e8744800	1	< 0.1%
2f0b22315a3009406bda2c00	1	< 0.1%
2f0c22f15a3000000b800000	1	< 0.1%
2f0b28f41d700a802b9e0c00	1	< 0.1%
2f0b245215f807e04bd62c00	1	< 0.1%
2f0d23b15a4008f04c7c1800	1	< 0.1%
2f0b22914e3009806bda3400	1	< 0.1%
2f0b2251563009406bd82c00	1	< 0.1%
2f0b22115e3008204bb83400	1	< 0.1%
2f0a28b3998009a02b9c1800	1	< 0.1%
Other values (71101)	71101	> 99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2f84156dda580000e8744800	1	< 0.1%
2f8718ce5e38000109544c00	1	< 0.1%
2f87166dca880000c9702c40	1	< 0.1%
2f87168dd2880000a96e3840	1	< 0.1%
2f8716cde2880000e9504840	1	< 0.1%
2f87174e4280000149545400	1	< 0.1%
2f87176e4678000189567800	1	< 0.1%
2f87110d666800004a161800	1	< 0.1%
2f871a0e1658000189547400	1	< 0.1%
2f8711ed1e78000029f40c00	1	< 0.1%
Other values (71101)	71101	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
0	508667	29.8%
2	169619	9.9%
8	124530	7.3%
1	109110	6.4%
e	97689	5.7%
4	93019	5.5%
c	76646	4.5%
6	76097	4.5%
f	71805	4.2%
3	66677	3.9%
Other values (6)	312805	18.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1291386	75.7%
Lowercase Letter	415278	24.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	508667	39.4%
2	169619	13.1%
8	124530	9.6%
1	109110	8.4%
4	93019	7.2%
6	76097	5.9%
3	66677	5.2%
5	57602	4.5%
9	47825	3.7%
7	38240	3.0%

Lowercase Letter

Value	Count	Frequency (%)
e	97689	23.5%
c	76646	18.5%
f	71805	17.3%
a	64114	15.4%
b	61377	14.8%
d	43647	10.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	1291386	75.7%
Latin	415278	24.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	508667	39.4%
2	169619	13.1%
8	124530	9.6%
1	109110	8.4%
4	93019	7.2%
6	76097	5.9%
3	66677	5.2%
5	57602	4.5%
9	47825	3.7%
7	38240	3.0%

Latin

Value	Count	Frequency (%)
e	97689	23.5%
c	76646	18.5%
f	71805	17.3%
a	64114	15.4%
b	61377	14.8%
d	43647	10.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1706664	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	508667	29.8%
2	169619	9.9%
8	124530	7.3%
1	109110	6.4%
e	97689	5.7%
4	93019	5.5%
c	76646	4.5%
6	76097	4.5%
f	71805	4.2%
3	66677	3.9%
Other values (6)	312805	18.3%

id
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	555.7 KiB

23	71111

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	142222
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	23
2nd row	23
3rd row	23
4th row	23
5th row	23

Common Values

Value	Count	Frequency (%)
23	71111	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
23	71111	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	71111	50.0%
3	71111	50.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	142222	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	71111	50.0%
3	71111	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	142222	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	71111	50.0%
3	71111	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	142222	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	71111	50.0%
3	71111	50.0%

humidite
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	89
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	65.56715557

Minimum	0
Maximum	97
Zeros	185
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	555.7 KiB

Quantile statistics

Minimum	0
5-th percentile	37
Q1	58
median	69
Q3	75
95-th percentile	84
Maximum	97
Range	97
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	14.45083463
Coefficient of variation (CV)	0.2203974612
Kurtosis	1.199640646
Mean	65.56715557
Median Absolute Deviation (MAD)	8
Skewness	-0.9570391631
Sum	4662546
Variance	208.8266214
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
74	2954	4.2%
73	2897	4.1%
76	2884	4.1%
72	2732	3.8%
75	2697	3.8%
71	2540	3.6%
70	2316	3.3%
69	2157	3.0%
77	2068	2.9%
78	2026	2.8%
Other values (79)	45840	64.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	185	0.3%
10	3	< 0.1%
11	9	< 0.1%
12	15	< 0.1%
13	15	< 0.1%
14	6	< 0.1%
15	25	< 0.1%
16	25	< 0.1%
17	29	< 0.1%
18	31	< 0.1%

Value	Count	Frequency (%)
97	19	< 0.1%
96	66	0.1%
95	118	0.2%
94	290	0.4%
93	293	0.4%
92	237	0.3%
91	181	0.3%
90	186	0.3%
89	260	0.4%
88	370	0.5%

direction_du_vecteur_de_vent_max
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	16
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.870343547

Minimum	0
Maximum	15
Zeros	12389
Zeros (%)	17.4%
Negative	0
Negative (%)	0.0%
Memory size	555.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	4
median	9
Q3	12
95-th percentile	14
Maximum	15
Range	15
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	4.81699192
Coefficient of variation (CV)	0.6120434122
Kurtosis	-1.102491473
Mean	7.870343547
Median Absolute Deviation (MAD)	3
Skewness	-0.4246635816
Sum	559668
Variance	23.20341116
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
0	12389	17.4%
11	9507	13.4%
12	8795	12.4%
7	6249	8.8%
8	5254	7.4%
13	4602	6.5%
14	4019	5.7%
10	3768	5.3%
5	3508	4.9%
15	3019	4.2%
Other values (6)	10001	14.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	12389	17.4%
1	887	1.2%
2	836	1.2%
3	2038	2.9%
4	2305	3.2%
5	3508	4.9%
6	2043	2.9%
7	6249	8.8%
8	5254	7.4%
9	1892	2.7%

Value	Count	Frequency (%)
15	3019	4.2%
14	4019	5.7%
13	4602	6.5%
12	8795	12.4%
11	9507	13.4%
10	3768	5.3%
9	1892	2.7%
8	5254	7.4%
7	6249	8.8%
6	2043	2.9%

pluie_intensite_max
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.009244701945

Minimum	0
Maximum	2.4
Zeros	68056
Zeros (%)	95.7%
Negative	0
Negative (%)	0.0%
Memory size	555.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	2.4
Range	2.4
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.04821705555
Coefficient of variation (CV)	5.215641979
Kurtosis	280.4643935
Mean	0.009244701945
Median Absolute Deviation (MAD)	0
Skewness	10.39433843
Sum	657.4
Variance	0.002324884446
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0	68056	95.7%
0.2	2914	4.1%
0.4	106	0.1%
0.6	17	< 0.1%
0.8	7	< 0.1%
1.2	3	< 0.1%
1	3	< 0.1%
2.2	2	< 0.1%
1.4	1	< 0.1%
2.4	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	68056	95.7%
0.2	2914	4.1%
0.4	106	0.1%
0.6	17	< 0.1%
0.8	7	< 0.1%
1	3	< 0.1%
1.2	3	< 0.1%
1.4	1	< 0.1%
1.6	1	< 0.1%
2.2	2	< 0.1%

Value	Count	Frequency (%)
2.4	1	< 0.1%
2.2	2	< 0.1%
1.6	1	< 0.1%
1.4	1	< 0.1%
1.2	3	< 0.1%
1	3	< 0.1%
0.8	7	< 0.1%
0.6	17	< 0.1%
0.4	106	0.1%
0.2	2914	4.1%

pression
Real number (ℝ_≥0)

Distinct	54
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	99292.40764

Minimum	90000
Maximum	101300
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	555.7 KiB

Quantile statistics

Minimum	90000
5-th percentile	98100
Q1	99000
median	99400
Q3	99800
95-th percentile	100400
Maximum	101300
Range	11300
Interquartile range (IQR)	800

Descriptive statistics

Standard deviation	1004.003173
Coefficient of variation (CV)	0.0101115805
Kurtosis	44.27355184
Mean	99292.40764
Median Absolute Deviation (MAD)	400
Skewness	-5.082383375
Sum	7060782400
Variance	1008022.372
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
99400	5122	7.2%
99300	4581	6.4%
99500	4565	6.4%
99200	4432	6.2%
99600	4286	6.0%
99100	4171	5.9%
99000	4047	5.7%
99700	3956	5.6%
98900	3244	4.6%
99800	3199	4.5%
Other values (44)	29508	41.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
90000	450	0.6%
96100	2	< 0.1%
96200	2	< 0.1%
96300	3	< 0.1%
96400	21	< 0.1%
96500	18	< 0.1%
96600	63	0.1%
96700	77	0.1%
96800	87	0.1%
96900	79	0.1%

Value	Count	Frequency (%)
101300	6	< 0.1%
101200	56	0.1%
101100	124	0.2%
101000	117	0.2%
100900	318	0.4%
100800	487	0.7%
100700	589	0.8%
100600	712	1.0%
100500	840	1.2%
100400	1357	1.9%

direction_du_vecteur_vent_moyen
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	181
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	83.08005794

Minimum	0
Maximum	360
Zeros	36435
Zeros (%)	51.2%
Negative	0
Negative (%)	0.0%
Memory size	555.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	146
95-th percentile	294
Maximum	360
Range	360
Interquartile range (IQR)	146

Descriptive statistics

Standard deviation	105.2144762
Coefficient of variation (CV)	1.266422759
Kurtosis	-0.3785593856
Mean	83.08005794
Median Absolute Deviation (MAD)	0
Skewness	0.9639341518
Sum	5907906
Variance	11070.086
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	36435	51.2%
134	923	1.3%
156	842	1.2%
112	748	1.1%
90	672	0.9%
246	487	0.7%
92	486	0.7%
94	471	0.7%
66	462	0.6%
96	438	0.6%
Other values (171)	29147	41.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	36435	51.2%
2	148	0.2%
4	150	0.2%
6	127	0.2%
8	111	0.2%
10	99	0.1%
12	92	0.1%
14	94	0.1%
16	67	0.1%
18	88	0.1%

Value	Count	Frequency (%)
360	3	< 0.1%
358	58	0.1%
356	67	0.1%
354	84	0.1%
352	87	0.1%
350	81	0.1%
348	98	0.1%
346	86	0.1%
344	90	0.1%
342	74	0.1%

type_de_station
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	555.7 KiB

ISS	71111

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	213333
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	ISS
2nd row	ISS
3rd row	ISS
4th row	ISS
5th row	ISS

Common Values

Value	Count	Frequency (%)
ISS	71111	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
iss	71111	100.0%

Most occurring characters

Value	Count	Frequency (%)
S	142222	66.7%
I	71111	33.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	213333	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	142222	66.7%
I	71111	33.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	213333	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	142222	66.7%
I	71111	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	213333	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	142222	66.7%
I	71111	33.3%

pluie
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	14
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.005914696742

Minimum	0
Maximum	3.2
Zeros	70139
Zeros (%)	98.6%
Negative	0
Negative (%)	0.0%
Memory size	555.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	3.2
Range	3.2
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.06585891503
Coefficient of variation (CV)	11.1347915
Kurtosis	421.9369147
Mean	0.005914696742
Median Absolute Deviation (MAD)	0
Skewness	17.56521456
Sum	420.6
Variance	0.004337396689
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
0	70139	98.6%
0.2	507	0.7%
0.4	205	0.3%
0.6	102	0.1%
0.8	59	0.1%
1	37	0.1%
1.2	31	< 0.1%
1.4	12	< 0.1%
1.8	6	< 0.1%
2	5	< 0.1%
Other values (4)	8	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	70139	98.6%
0.2	507	0.7%
0.4	205	0.3%
0.6	102	0.1%
0.8	59	0.1%
1	37	0.1%
1.2	31	< 0.1%
1.4	12	< 0.1%
1.6	4	< 0.1%
1.8	6	< 0.1%

Value	Count	Frequency (%)
3.2	1	< 0.1%
2.6	1	< 0.1%
2.4	2	< 0.1%
2	5	< 0.1%
1.8	6	< 0.1%
1.6	4	< 0.1%
1.4	12	< 0.1%
1.2	31	< 0.1%
1	37	0.1%
0.8	59	0.1%

direction_du_vecteur_de_vent_max_en_degres
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	16
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	177.0827298

Minimum	0
Maximum	337.5
Zeros	12389
Zeros (%)	17.4%
Negative	0
Negative (%)	0.0%
Memory size	555.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	90
median	202.5
Q3	270
95-th percentile	315
Maximum	337.5
Range	337.5
Interquartile range (IQR)	180

Descriptive statistics

Standard deviation	108.3823182
Coefficient of variation (CV)	0.6120434122
Kurtosis	-1.102491473
Mean	177.0827298
Median Absolute Deviation (MAD)	67.5
Skewness	-0.4246635816
Sum	12592530
Variance	11746.7269
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
0	12389	17.4%
247.5	9507	13.4%
270	8795	12.4%
157.5	6249	8.8%
180	5254	7.4%
292.5	4602	6.5%
315	4019	5.7%
225	3768	5.3%
112.5	3508	4.9%
337.5	3019	4.2%
Other values (6)	10001	14.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	12389	17.4%
22.5	887	1.2%
45	836	1.2%
67.5	2038	2.9%
90	2305	3.2%
112.5	3508	4.9%
135	2043	2.9%
157.5	6249	8.8%
180	5254	7.4%
202.5	1892	2.7%

Value	Count	Frequency (%)
337.5	3019	4.2%
315	4019	5.7%
292.5	4602	6.5%
270	8795	12.4%
247.5	9507	13.4%
225	3768	5.3%
202.5	1892	2.7%
180	5254	7.4%
157.5	6249	8.8%
135	2043	2.9%

force_moyenne_du_vecteur_vent
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	30
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.876531057

Minimum	0
Maximum	30
Zeros	14033
Zeros (%)	19.7%
Negative	0
Negative (%)	0.0%
Memory size	555.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	3
Q3	6
95-th percentile	12
Maximum	30
Range	30
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.821528148
Coefficient of variation (CV)	0.9858113069
Kurtosis	2.236900452
Mean	3.876531057
Median Absolute Deviation (MAD)	2
Skewness	1.403283341
Sum	275664
Variance	14.60407738
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
0	14033	19.7%
2	9206	12.9%
1	8871	12.5%
3	8306	11.7%
4	6826	9.6%
5	5324	7.5%
6	4251	6.0%
7	3205	4.5%
8	2537	3.6%
9	1951	2.7%
Other values (20)	6601	9.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	14033	19.7%
1	8871	12.5%
2	9206	12.9%
3	8306	11.7%
4	6826	9.6%
5	5324	7.5%
6	4251	6.0%
7	3205	4.5%
8	2537	3.6%
9	1951	2.7%

Value	Count	Frequency (%)
30	1	< 0.1%
28	1	< 0.1%
27	3	< 0.1%
26	4	< 0.1%
25	6	< 0.1%
24	13	< 0.1%
23	18	< 0.1%
22	27	< 0.1%
21	58	0.1%
20	77	0.1%

force_rafale_max
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	41
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.80654189

Minimum	0
Maximum	70
Zeros	8431
Zeros (%)	11.9%
Negative	0
Negative (%)	0.0%
Memory size	555.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	5
median	11
Q3	18
95-th percentile	27
Maximum	70
Range	70
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	8.960648981
Coefficient of variation (CV)	0.7589562692
Kurtosis	0.965983932
Mean	11.80654189
Median Absolute Deviation (MAD)	6
Skewness	0.8444703712
Sum	839575
Variance	80.29323016
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=41)

Value	Count	Frequency (%)
0	8431	11.9%
6	5509	7.7%
5	4920	6.9%
13	4818	6.8%
14	4805	6.8%
3	4642	6.5%
11	4445	6.3%
16	4393	6.2%
10	4154	5.8%
18	3782	5.3%
Other values (31)	21212	29.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	8431	11.9%
2	2533	3.6%
3	4642	6.5%
5	4920	6.9%
6	5509	7.7%
8	3668	5.2%
10	4154	5.8%
11	4445	6.3%
13	4818	6.8%
14	4805	6.8%

Value	Count	Frequency (%)
70	1	< 0.1%
66	7	< 0.1%
62	3	< 0.1%
61	1	< 0.1%
58	6	< 0.1%
56	7	< 0.1%
54	9	< 0.1%
53	18	< 0.1%
51	21	< 0.1%
50	40	0.1%

temperature_en_degre_c
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION

Distinct	426
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13.98287044

Minimum	-50
Maximum	37.2
Zeros	45
Zeros (%)	0.1%
Negative	1521
Negative (%)	2.1%
Memory size	555.7 KiB

Quantile statistics

Minimum	-50
5-th percentile	2.2
Q1	9
median	13.7
Q3	19
95-th percentile	27.1
Maximum	37.2
Range	87.2
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	8.01952736
Coefficient of variation (CV)	0.5735251137
Kurtosis	9.35411793
Mean	13.98287044
Median Absolute Deviation (MAD)	5
Skewness	-1.087448638
Sum	994335.9
Variance	64.31281908
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
12.4	460	0.6%
13.3	453	0.6%
12.5	445	0.6%
13.7	443	0.6%
13.4	436	0.6%
13.5	424	0.6%
12.6	423	0.6%
10.8	419	0.6%
10.7	417	0.6%
11.3	416	0.6%
Other values (416)	66775	93.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-50	181	0.3%
-6.9	3	< 0.1%
-6.8	2	< 0.1%
-6.7	4	< 0.1%
-6.6	3	< 0.1%
-6.5	3	< 0.1%
-5.9	8	< 0.1%
-5.8	3	< 0.1%
-5.7	1	< 0.1%
-5.6	1	< 0.1%

Value	Count	Frequency (%)
37.2	2	< 0.1%
37.1	3	< 0.1%
37	7	< 0.1%
36.9	4	< 0.1%
36.8	8	< 0.1%
36.7	6	< 0.1%
36.6	3	< 0.1%
36.5	5	< 0.1%
36.4	7	< 0.1%
36.3	9	< 0.1%

heure_de_paris
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	71023
Distinct (%)	99.9%
Missing	0
Missing (%)	0.0%
Memory size	555.7 KiB

2021-11-26T22:45:00+01:00	2
2022-07-09T23:45:00+02:00	2
2022-05-04T21:30:00+02:00	2
2021-10-31T13:00:00+01:00	2
2021-07-29T17:00:00+02:00	2
Other values (71018)	71101

Length

Max length	25
Median length	25
Mean length	25
Min length	25

Characters and Unicode

Total characters	1777775
Distinct characters	14
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	70935 ?
Unique (%)	99.8%

Sample

1st row	2020-12-04T11:30:00+01:00
2nd row	2020-12-07T09:30:00+01:00
3rd row	2020-12-07T12:15:00+01:00
4th row	2020-12-07T13:30:00+01:00
5th row	2020-12-07T13:45:00+01:00

Common Values

Value	Count	Frequency (%)
2021-11-26T22:45:00+01:00	2	< 0.1%
2022-07-09T23:45:00+02:00	2	< 0.1%
2022-05-04T21:30:00+02:00	2	< 0.1%
2021-10-31T13:00:00+01:00	2	< 0.1%
2021-07-29T17:00:00+02:00	2	< 0.1%
2022-03-26T23:45:00+01:00	2	< 0.1%
2022-02-17T12:45:00+01:00	2	< 0.1%
2022-05-21T23:00:00+02:00	2	< 0.1%
2022-05-14T23:00:00+02:00	2	< 0.1%
2022-04-18T02:45:00+02:00	2	< 0.1%
Other values (71013)	71091	> 99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2021-11-26t22:45:00+01:00	2	< 0.1%
2021-12-13t07:15:00+01:00	2	< 0.1%
2022-03-19t17:15:00+01:00	2	< 0.1%
2022-02-26t08:30:00+01:00	2	< 0.1%
2021-09-18t20:45:00+02:00	2	< 0.1%
2021-11-08t03:00:00+01:00	2	< 0.1%
2022-07-02t17:00:00+02:00	2	< 0.1%
2021-10-31t01:45:00+02:00	2	< 0.1%
2022-02-23t08:00:00+01:00	2	< 0.1%
2021-10-31t13:30:00+01:00	2	< 0.1%
Other values (71013)	71091	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
0	637631	35.9%
2	251266	14.1%
:	213333	12.0%
1	171149	9.6%
-	142222	8.0%
T	71111	4.0%
+	71111	4.0%
5	53500	3.0%
3	42736	2.4%
4	36020	2.0%
Other values (4)	87696	4.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1279998	72.0%
Other Punctuation	213333	12.0%
Dash Punctuation	142222	8.0%
Uppercase Letter	71111	4.0%
Math Symbol	71111	4.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	637631	49.8%
2	251266	19.6%
1	171149	13.4%
5	53500	4.2%
3	42736	3.3%
4	36020	2.8%
9	31686	2.5%
8	20164	1.6%
7	20142	1.6%
6	15704	1.2%

Other Punctuation

Value	Count	Frequency (%)
:	213333	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	142222	100.0%

Uppercase Letter

Value	Count	Frequency (%)
T	71111	100.0%

Math Symbol

Value	Count	Frequency (%)
+	71111	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1706664	96.0%
Latin	71111	4.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	637631	37.4%
2	251266	14.7%
:	213333	12.5%
1	171149	10.0%
-	142222	8.3%
+	71111	4.2%
5	53500	3.1%
3	42736	2.5%
4	36020	2.1%
9	31686	1.9%
Other values (3)	56010	3.3%

Latin

Value	Count	Frequency (%)
T	71111	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1777775	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	637631	35.9%
2	251266	14.1%
:	213333	12.0%
1	171149	9.6%
-	142222	8.0%
T	71111	4.0%
+	71111	4.0%
5	53500	3.0%
3	42736	2.4%
4	36020	2.0%
Other values (4)	87696	4.9%

heure_utc
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	71023
Distinct (%)	99.9%
Missing	0
Missing (%)	0.0%
Memory size	555.7 KiB

2021-11-26T21:45:00+00:00	2
2022-07-09T21:45:00+00:00	2
2022-05-04T19:30:00+00:00	2
2021-10-31T12:00:00+00:00	2
2021-07-29T15:00:00+00:00	2
Other values (71018)	71101

Length

Max length	25
Median length	25
Mean length	25
Min length	25

Characters and Unicode

Total characters	1777775
Distinct characters	14
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	70935 ?
Unique (%)	99.8%

Sample

1st row	2020-12-04T10:30:00+00:00
2nd row	2020-12-07T08:30:00+00:00
3rd row	2020-12-07T11:15:00+00:00
4th row	2020-12-07T12:30:00+00:00
5th row	2020-12-07T12:45:00+00:00

Common Values

Value	Count	Frequency (%)
2021-11-26T21:45:00+00:00	2	< 0.1%
2022-07-09T21:45:00+00:00	2	< 0.1%
2022-05-04T19:30:00+00:00	2	< 0.1%
2021-10-31T12:00:00+00:00	2	< 0.1%
2021-07-29T15:00:00+00:00	2	< 0.1%
2022-03-26T22:45:00+00:00	2	< 0.1%
2022-02-17T11:45:00+00:00	2	< 0.1%
2022-05-21T21:00:00+00:00	2	< 0.1%
2022-05-14T21:00:00+00:00	2	< 0.1%
2022-04-18T00:45:00+00:00	2	< 0.1%
Other values (71013)	71091	> 99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2021-11-26t21:45:00+00:00	2	< 0.1%
2021-12-13t06:15:00+00:00	2	< 0.1%
2022-03-19t16:15:00+00:00	2	< 0.1%
2022-02-26t07:30:00+00:00	2	< 0.1%
2021-09-18t18:45:00+00:00	2	< 0.1%
2021-11-08t02:00:00+00:00	2	< 0.1%
2022-07-02t15:00:00+00:00	2	< 0.1%
2021-10-30t23:45:00+00:00	2	< 0.1%
2022-02-23t07:00:00+00:00	2	< 0.1%
2021-10-31t12:30:00+00:00	2	< 0.1%
Other values (71013)	71091	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
0	708784	39.9%
:	213333	12.0%
2	207339	11.7%
1	143733	8.1%
-	142222	8.0%
T	71111	4.0%
+	71111	4.0%
5	53535	3.0%
3	42405	2.4%
4	35986	2.0%
Other values (4)	88216	5.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1279998	72.0%
Other Punctuation	213333	12.0%
Dash Punctuation	142222	8.0%
Uppercase Letter	71111	4.0%
Math Symbol	71111	4.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	708784	55.4%
2	207339	16.2%
1	143733	11.2%
5	53535	4.2%
3	42405	3.3%
4	35986	2.8%
9	31705	2.5%
7	20436	1.6%
8	20232	1.6%
6	15843	1.2%

Other Punctuation

Value	Count	Frequency (%)
:	213333	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	142222	100.0%

Uppercase Letter

Value	Count	Frequency (%)
T	71111	100.0%

Math Symbol

Value	Count	Frequency (%)
+	71111	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1706664	96.0%
Latin	71111	4.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	708784	41.5%
:	213333	12.5%
2	207339	12.1%
1	143733	8.4%
-	142222	8.3%
+	71111	4.2%
5	53535	3.1%
3	42405	2.5%
4	35986	2.1%
9	31705	1.9%
Other values (3)	56511	3.3%

Latin

Value	Count	Frequency (%)
T	71111	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1777775	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	708784	39.9%
:	213333	12.0%
2	207339	11.7%
1	143733	8.1%
-	142222	8.0%
T	71111	4.0%
+	71111	4.0%
5	53535	3.0%
3	42405	2.4%
4	35986	2.0%
Other values (4)	88216	5.0%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	data	id	humidite	direction_du_vecteur_de_vent_max	pluie_intensite_max	pression	type_de_station	direction_du_vecteur_de_vent_max_en_degres	force_moyenne_du_vecteur_vent	force_rafale_max	temperature_en_degre_c	heure_de_paris	heure_utc
0	2f84156dda580000e8744800	23	75	10	0.0	96700	ISS	225.0	7	18	5.6	2020-12-04T11:30:00+01:00	2020-12-04T10:30:00+00:00
1	2f87146d2680000049b21800	23	80	9	0.0	97700	ISS	202.5	2	6	2.9	2020-12-07T09:30:00+01:00	2020-12-07T08:30:00+00:00
2	2f8715cd96880000e9903840	23	81	8	0.2	97600	ISS	180.0	7	14	4.5	2020-12-07T12:15:00+01:00	2020-12-07T11:15:00+00:00
3	2f87166dca880000c9702c40	23	81	8	0.2	97500	ISS	180.0	6	11	5.2	2020-12-07T13:30:00+01:00	2020-12-07T12:30:00+00:00
4	2f87168dd2880000a96e3840	23	81	7	0.2	97500	ISS	157.5	5	14	5.4	2020-12-07T13:45:00+01:00	2020-12-07T12:45:00+00:00
5	2f8716cde2880000e9504840	23	81	8	0.2	97400	ISS	180.0	7	18	5.8	2020-12-07T14:15:00+01:00	2020-12-07T13:15:00+00:00
6	2f87174e4280000149545400	23	80	10	0.0	97400	ISS	225.0	10	21	7.0	2020-12-07T15:15:00+01:00	2020-12-07T14:15:00+00:00
7	2f87176e4678000189567800	23	79	11	0.0	97400	ISS	247.5	12	30	7.1	2020-12-07T15:30:00+01:00	2020-12-07T14:30:00+00:00
8	2f8718ce5e38000109544c00	23	71	10	0.0	97400	ISS	225.0	8	19	7.7	2020-12-07T18:15:00+01:00	2020-12-07T17:15:00+00:00
9	2f87198e2260000129745840	23	76	10	0.2	97500	ISS	225.0	9	22	6.8	2020-12-07T19:45:00+01:00	2020-12-07T18:45:00+00:00

Last rows

	data	id	humidite	direction_du_vecteur_de_vent_max	pluie_intensite_max	pression	direction_du_vecteur_vent_moyen	type_de_station	pluie	direction_du_vecteur_de_vent_max_en_degres	force_moyenne_du_vecteur_vent	force_rafale_max	temperature_en_degre_c	heure_de_paris	heure_utc
71101	2ee83b914db809800c9a0c00	23	55	13	0.0	100000	304	ISS	0.0	292.5	0	3	19.3	2022-07-09T00:45:00+02:00	2022-07-08T22:45:00+00:00
71102	2ee83350a21808f08cf64000	23	67	11	0.0	100300	286	ISS	0.0	247.5	4	16	16.8	2022-07-08T08:15:00+02:00	2022-07-08T06:15:00+00:00
71103	2ee833b0d60800010ce05800	23	65	0	0.0	100300	0	ISS	0.0	0.0	8	22	17.5	2022-07-08T09:00:00+02:00	2022-07-08T07:00:00+00:00
71104	2ee8343141f00000ece04c00	23	62	0	0.0	100300	0	ISS	0.0	0.0	7	19	19.0	2022-07-08T10:00:00+02:00	2022-07-08T08:00:00+00:00
71105	2ee8345159e80000ecc04c00	23	61	0	0.0	100200	0	ISS	0.0	0.0	7	19	19.6	2022-07-08T10:15:00+02:00	2022-07-08T08:15:00+00:00
71106	2ee8355249980860acd84c00	23	51	12	0.0	100200	268	ISS	0.0	270.0	5	19	23.2	2022-07-08T12:15:00+02:00	2022-07-08T10:15:00+00:00
71107	2ee83592558827d10cd85840	23	49	12	0.2	100200	250	ISS	0.4	270.0	8	22	23.5	2022-07-08T12:45:00+02:00	2022-07-08T10:45:00+00:00
71108	2eec39b3c0f800000bc00800	23	31	0	0.0	99400	0	ISS	0.0	0.0	0	2	29.0	2022-07-12T21:00:00+02:00	2022-07-12T19:00:00+00:00
71109	2eec39d3591850000bc00040	23	35	0	0.2	99400	0	ISS	1.0	0.0	0	0	27.6	2022-07-12T21:15:00+02:00	2022-07-12T19:15:00+00:00
71110	2eec3ad21d5000000be01400	23	42	0	0.0	99500	0	ISS	0.0	0.0	0	5	22.7	2022-07-12T23:15:00+02:00	2022-07-12T21:15:00+00:00

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Lowercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Dash Punctuation

Uppercase Letter

Math Symbol

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Dash Punctuation

Uppercase Letter

Math Symbol

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Spearman's ρ

Pearson's r